{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,2,21]],"date-time":"2025-02-21T10:18:43Z","timestamp":1740133123637,"version":"3.37.3"},"reference-count":47,"publisher":"Institute of Electrical and Electronics Engineers (IEEE)","issue":"11","license":[{"start":{"date-parts":[[2020,11,1]],"date-time":"2020-11-01T00:00:00Z","timestamp":1604188800000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/ieeexplore.ieee.org\/Xplorehelp\/downloads\/license-information\/IEEE.html"},{"start":{"date-parts":[[2020,11,1]],"date-time":"2020-11-01T00:00:00Z","timestamp":1604188800000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-029"},{"start":{"date-parts":[[2020,11,1]],"date-time":"2020-11-01T00:00:00Z","timestamp":1604188800000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-037"}],"funder":[{"DOI":"10.13039\/501100001809","name":"Natural Science Foundation of China","doi-asserted-by":"publisher","award":["61571147","61871016"],"award-info":[{"award-number":["61571147","61871016"]}],"id":[{"id":"10.13039\/501100001809","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["IEEE Trans. Circuits Syst. Video Technol."],"published-print":{"date-parts":[[2020,11]]},"DOI":"10.1109\/tcsvt.2019.2952646","type":"journal-article","created":{"date-parts":[[2019,11,11]],"date-time":"2019-11-11T23:43:30Z","timestamp":1573515810000},"page":"4222-4231","source":"Crossref","is-referenced-by-count":1,"title":["Calibrated Multivariate Regression Networks"],"prefix":"10.1109","volume":"30","author":[{"ORCID":"https:\/\/orcid.org\/0000-0002-8494-0504","authenticated-orcid":false,"given":"Lei","family":"Zhang","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Yingjun","family":"Du","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Xin","family":"Li","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-5213-0462","authenticated-orcid":false,"given":"Xiantong","family":"Zhen","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"263","reference":[{"key":"ref39","doi-asserted-by":"publisher","DOI":"10.1145\/2339530.2339672"},{"key":"ref38","first-page":"964","article-title":"A dirty model for multi-task learning","author":"jalali","year":"2010","journal-title":"Proc NIPS"},{"key":"ref33","doi-asserted-by":"crossref","first-page":"198","DOI":"10.1007\/s11263-017-0999-5","article-title":"A comprehensive performance evaluation of deformable face tracking &#x2018;in-the-wild","volume":"126","author":"chrysos","year":"2016","journal-title":"Int J Comput Vis"},{"key":"ref32","doi-asserted-by":"publisher","DOI":"10.1109\/TPAMI.2017.2745568"},{"key":"ref31","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2016.371"},{"key":"ref30","doi-asserted-by":"publisher","DOI":"10.1109\/TPAMI.2015.2469286"},{"key":"ref37","first-page":"3185","article-title":"Simultaneously leveraging output and task structures for multiple-output regression","author":"rai","year":"2012","journal-title":"Proc Adv Neural Inf Process Syst"},{"key":"ref36","first-page":"4998","article-title":"Face alignment by coarse-to-fine shape searching","author":"zhu","year":"2015","journal-title":"Proc CVPR"},{"key":"ref35","volume":"1","author":"friedman","year":"2001","journal-title":"The Elements of Statistical Learning"},{"key":"ref34","doi-asserted-by":"publisher","DOI":"10.1007\/s11263-018-1095-1"},{"key":"ref10","first-page":"127","article-title":"Multivariate regression with calibration","author":"liu","year":"2014","journal-title":"Proc NIPS"},{"key":"ref40","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-319-10605-2_1"},{"key":"ref11","doi-asserted-by":"publisher","DOI":"10.1145\/2623330.2623641"},{"key":"ref12","first-page":"1","article-title":"Breaking the curse of dimensionality with convex neural networks","volume":"18","author":"bach","year":"2017","journal-title":"J Mach Learn Res"},{"key":"ref13","first-page":"3088","article-title":"Structured transforms for small-footprint deep learning","author":"sindhwani","year":"2015","journal-title":"Proc NIPS"},{"journal-title":"Learning With Kernels Support Vector Machines Regularization Optimization and Beyond","year":"2002","author":"sch\u00f6lkopf","key":"ref14"},{"key":"ref15","first-page":"1177","article-title":"Random features for large-scale kernel machines","author":"rahimi","year":"2007","journal-title":"Proc NIPS"},{"key":"ref16","first-page":"1298","article-title":"Learning kernels with random features","author":"sinha","year":"2016","journal-title":"Proc NIPS"},{"journal-title":"Fourier Analysis on Group","year":"2011","author":"rudin","key":"ref17"},{"key":"ref18","doi-asserted-by":"publisher","DOI":"10.1109\/TPAMI.2011.153"},{"key":"ref19","first-page":"1","article-title":"Deep semi-random features for nonlinear function approximation","author":"kawaguchi","year":"2018","journal-title":"Proc AAAI"},{"key":"ref28","doi-asserted-by":"publisher","DOI":"10.1109\/ICCVW.2011.6130513"},{"key":"ref4","first-page":"1813","article-title":"Efficient and robust feature selection via joint $\\ell_{2}, 1$\n-norms minimization","author":"nie","year":"2010","journal-title":"Proc NIPS"},{"key":"ref27","first-page":"586","article-title":"Deep learning without poor local minima","author":"kawaguchi","year":"2016","journal-title":"Proc NIPS"},{"key":"ref3","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-319-10599-4_7"},{"key":"ref6","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-319-46227-1_41"},{"key":"ref29","doi-asserted-by":"publisher","DOI":"10.1109\/ICCVW.2015.132"},{"key":"ref5","article-title":"Compact nonlinear maps and circulant extensions","author":"yu","year":"2015","journal-title":"arXiv 1503 03893"},{"key":"ref8","first-page":"41","article-title":"Multi-task feature learning","author":"argyriou","year":"2006","journal-title":"Proc NIPS"},{"key":"ref7","first-page":"1817","article-title":"A framework for learning predictive structures from multiple tasks and unlabeled data","volume":"6","author":"ando","year":"2005","journal-title":"J Mach Learn Res"},{"key":"ref2","first-page":"2411","article-title":"On multiplicative multitask feature learning","author":"wang","year":"2014","journal-title":"Proc NIPS"},{"key":"ref9","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-319-10605-2_36"},{"key":"ref1","doi-asserted-by":"publisher","DOI":"10.1007\/978-1-4615-5529-2_5"},{"key":"ref46","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2014.241"},{"key":"ref20","first-page":"459","article-title":"Fourier kernel learning","author":"b?z?van","year":"2012","journal-title":"Proc ECCV"},{"key":"ref45","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2013.75"},{"key":"ref22","doi-asserted-by":"publisher","DOI":"10.1090\/qam\/10666"},{"key":"ref47","doi-asserted-by":"publisher","DOI":"10.5244\/C.29.130"},{"key":"ref21","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-642-35289-8_26"},{"key":"ref42","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV.2017.348"},{"key":"ref24","doi-asserted-by":"publisher","DOI":"10.1109\/TPAMI.2017.2688363"},{"key":"ref41","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2013.446"},{"key":"ref23","first-page":"1005","article-title":"ACDC: A structured efficient linear layer","author":"moczulski","year":"2015","journal-title":"Proc ICLR"},{"key":"ref44","doi-asserted-by":"publisher","DOI":"10.1007\/s11263-013-0667-3"},{"key":"ref26","doi-asserted-by":"publisher","DOI":"10.1016\/j.neunet.2012.04.011"},{"key":"ref43","doi-asserted-by":"publisher","DOI":"10.1109\/LSP.2016.2603342"},{"key":"ref25","doi-asserted-by":"publisher","DOI":"10.1016\/0893-6080(89)90014-2"}],"container-title":["IEEE Transactions on Circuits and Systems for Video Technology"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx7\/76\/9242342\/08895784.pdf?arnumber=8895784","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2022,4,27]],"date-time":"2022-04-27T14:39:24Z","timestamp":1651070364000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/8895784\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2020,11]]},"references-count":47,"journal-issue":{"issue":"11"},"URL":"https:\/\/doi.org\/10.1109\/tcsvt.2019.2952646","relation":{},"ISSN":["1051-8215","1558-2205"],"issn-type":[{"type":"print","value":"1051-8215"},{"type":"electronic","value":"1558-2205"}],"subject":[],"published":{"date-parts":[[2020,11]]}}}